{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Day10 基础绘图类型——折线图\n",
    "\n",
    "　　上一天的日程中我们仔细学习了`matplotlib`中有关散点图绘制的常用知识，今天我们继续来学习另一种使用非常广泛的可视化类型——折线图。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-24T13:43:09.807567Z",
     "iopub.status.busy": "2020-10-24T13:43:09.807567Z",
     "iopub.status.idle": "2020-10-24T13:43:10.120762Z",
     "shell.execute_reply": "2020-10-24T13:43:10.120762Z",
     "shell.execute_reply.started": "2020-10-24T13:43:09.807567Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "matplotlib版本： 3.3.2\n"
     ]
    }
   ],
   "source": [
    "import matplotlib;print('matplotlib版本：', matplotlib.__version__)\n",
    "import matplotlib.pyplot as plt # 从matplotlib中导入我们最经常使用的pyplot子模块\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei'] # 设定默认字体为SimHei以解决中文显示乱码问题\n",
    "plt.rcParams['axes.unicode_minus'] = False # 解决图像负号'-'不正常显示的问题"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "　　这次我们换一个更适合演示折线图的数据集，这个数据集记录了1949年到1960年之间，美国某航空公司每月乘客总量变化情况："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-24T13:43:10.122725Z",
     "iopub.status.busy": "2020-10-24T13:43:10.122725Z",
     "iopub.status.idle": "2020-10-24T13:43:10.355135Z",
     "shell.execute_reply": "2020-10-24T13:43:10.355135Z",
     "shell.execute_reply.started": "2020-10-24T13:43:10.122725Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Month</th>\n",
       "      <th>#Passengers</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1949-01</td>\n",
       "      <td>112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1949-02</td>\n",
       "      <td>118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1949-03</td>\n",
       "      <td>132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1949-04</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1949-05</td>\n",
       "      <td>121</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Month  #Passengers\n",
       "0  1949-01          112\n",
       "1  1949-02          118\n",
       "2  1949-03          132\n",
       "3  1949-04          129\n",
       "4  1949-05          121"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "air_passengers = pd.read_csv('AirPassengers.csv').dropna()\n",
    "air_passengers.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "　　在`matplotlib`中我们直接使用`plot()`来绘制折线图，下面是最基础的折线图，为了x轴不显得过分细密，我们顺便设置一下x轴刻度及标签："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-24T13:43:10.356099Z",
     "iopub.status.busy": "2020-10-24T13:43:10.356099Z",
     "iopub.status.idle": "2020-10-24T13:43:10.571522Z",
     "shell.execute_reply": "2020-10-24T13:43:10.570525Z",
     "shell.execute_reply.started": "2020-10-24T13:43:10.356099Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 基础的散点图\n",
    "fig, ax = plt.subplots(figsize=(8, 4))\n",
    "\n",
    "ax.plot(air_passengers['Month'], air_passengers['#Passengers'])\n",
    "\n",
    "# 简单设置一下x轴刻度及标签\n",
    "ax.set_xticks(air_passengers['Month'][::12].tolist()+[air_passengers['Month'].iat[-1]])\n",
    "ax.tick_params(axis='x', rotation=45);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "　　在上面的简单例子中，我们传入对应的x与y参数进方法`plot()`中，`matplotlib`会按照x的顺序将对应的(x, y)成对坐标点用折线连接起来，所以当你输入的x顺序不是单调时，贸然使用会导致画出来“一团乱麻”。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-24T13:43:10.572521Z",
     "iopub.status.busy": "2020-10-24T13:43:10.572521Z",
     "iopub.status.idle": "2020-10-24T13:43:10.700177Z",
     "shell.execute_reply": "2020-10-24T13:43:10.699184Z",
     "shell.execute_reply.started": "2020-10-24T13:43:10.572521Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = [4, 5, 6, 2, 1, 7]\n",
    "y = [1, 2, 3, 4, 5, 1]\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(5, 5))\n",
    "ax.plot(x, y);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "　　现在我们知道了什么样的数据才适合用`plot()`来表现，回到我们的航空时序数据，下面我们来学习更多实用的参数，先来介绍与前面所学的`scatter()`同质化的参数："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-24T13:43:10.701176Z",
     "iopub.status.busy": "2020-10-24T13:43:10.701176Z",
     "iopub.status.idle": "2020-10-24T13:43:10.835849Z",
     "shell.execute_reply": "2020-10-24T13:43:10.835849Z",
     "shell.execute_reply.started": "2020-10-24T13:43:10.701176Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 利用color控制线条色彩，alpha控制线条透明度\n",
    "fig, ax = plt.subplots(figsize=(8, 4))\n",
    "\n",
    "ax.plot(air_passengers['Month'], air_passengers['#Passengers'],\n",
    "        color='red', alpha=0.4)\n",
    "\n",
    "ax.set_xticks(air_passengers['Month'][::12].tolist()+[air_passengers['Month'].iat[-1]])\n",
    "ax.tick_params(axis='x', rotation=45);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "　　在`plot()`中串联起折线的每个节点是可以直接进行常用属性的设置的，譬如下面有关`marker`的几种参数：\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-24T13:43:10.836815Z",
     "iopub.status.busy": "2020-10-24T13:43:10.836815Z",
     "iopub.status.idle": "2020-10-24T13:43:10.974483Z",
     "shell.execute_reply": "2020-10-24T13:43:10.974483Z",
     "shell.execute_reply.started": "2020-10-24T13:43:10.836815Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8, 4))\n",
    "\n",
    "ax.plot(air_passengers['Month'], \n",
    "        air_passengers['#Passengers'],\n",
    "        color='red', \n",
    "        alpha=0.8,\n",
    "        marker='*', # 像scatter一样设置散点样式\n",
    "        markersize=10, # 设置散点大小\n",
    "        markerfacecolor='blue', # 设置散点填充色\n",
    "        markeredgecolor='yellow', # 设置散点轮廓色\n",
    "        markeredgewidth=0.5 # 设置散点轮廓宽度\n",
    "        )\n",
    "\n",
    "ax.set_xticks(air_passengers['Month'][::12].tolist()+[air_passengers['Month'].iat[-1]])\n",
    "ax.tick_params(axis='x', rotation=45);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "　　而在`plot()`中我们主要可以对折线的线型和宽度进行设置，其中`linestyle`用于控制折线的线型，主要有下面几种可选参数："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-24T13:43:10.975442Z",
     "iopub.status.busy": "2020-10-24T13:43:10.975442Z",
     "iopub.status.idle": "2020-10-24T13:43:11.091160Z",
     "shell.execute_reply": "2020-10-24T13:43:11.091160Z",
     "shell.execute_reply.started": "2020-10-24T13:43:10.975442Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(8, 4))\n",
    "\n",
    "x = np.array([0, 1, 2])\n",
    "\n",
    "ax.plot(x, x, linestyle='-')\n",
    "ax.plot(x, x+1, linestyle='--')\n",
    "ax.plot(x, x+2, linestyle='-.')\n",
    "ax.plot(x, x+3, linestyle=':');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "　　而通过参数`linewidth`我们可以以像素点为单位设置折线宽度："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-24T13:43:11.093154Z",
     "iopub.status.busy": "2020-10-24T13:43:11.093154Z",
     "iopub.status.idle": "2020-10-24T13:43:11.197846Z",
     "shell.execute_reply": "2020-10-24T13:43:11.197846Z",
     "shell.execute_reply.started": "2020-10-24T13:43:11.093154Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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dm656TV2EZL98mdVrZIrt423dYQ1Vq15r69EtPGqG6jU6OwZslUgpkdnY0DXFWKJ6Lb/HVJ2dsnqNzFBcvZafoW4eG//60lav+dw++Pv9uNB9gSvY6VQMWAOUVK+p22Oyu7tmD+3cWL1G9SInc3i4//Dk5CN1ZlqN6rXhzuGSHlNWr9F5MWDPSGazJ9VrmvdMcwcHZg/t3ArVa/m2mEAAthFuXKfay+QyuB+7X1h8xOo1amQM2CeQqRSSd+7oe0wbvXrtwgX9zJTVa2SSkuq1aBiL0UUkssa+vvLVa77+k3N5Z9wzcLY7Db0fomIMWJW2eq3QY7q0xOo1IgMcZ46V6jXNAqSqVK8JGy73XdadfsTqNTJLUwZs9uBACVFtj+nd5cavXtMuQJqZYfUamcKs6jVfvw/TvdOsXqO6YfmAzezu6oLUEtVrMzP6AxtYvUYm2U3s6i7xhnfCeHPf+NdXV1sXZvpmlJOP1ECddE2yeo3qmmX+deqq1zSz08yalarX/LBPTbF6jWpOSomt4y3dYQ3VrF7TLj5i9Ro1qoYMWKV6bU3TY6psjWn46rWiHtP28THuMaWaK1e9FtmJYCexY/h96arX1FAd7RrlCnayhLoPWJnLIXV/RX+ZNxxGLhYze2jn1trfrztGkNVrZJaczGElvqJ7vzQUDVWles3T5dGffuT2Y7Bz0PD7IaoXdRWwheo1TY9pMhxGzirVa34/HIEgbEODDFOquXLVawvRBRxljH99TTgndMcI+vp86HX0Gn4/RPWsLgI29fAhVj/3+YavXmsbHyvpMWX1GpkhX71WCNOdMBZ3F6tavZYP1Jm+GXS3syWJqKKAFUK4AbwNwP+TUhr+RqfN7UZifr5xtsmUq17z+dDa02P2yKgJHaWPsLC7oJx8pM5Ml/eWkZHG7jFta2nDdN+0rseU1WtEj3dqwAohRgH8RwB/CuCLQogXpJRbRg6ipbMT7VOTSN25a+SXNYames3u96MjEIB9ZobVa2SK4uq1SDSC+7H7talec02hrZUr2IkqVckMNgjgc1LKbwoh+gC8FcDXjB6IIxAwPWCFwwHHzIy+x5TVa2SS7eNt3YENoZ1QVavX8k0xAXcA405Wr5FFSAns3gPW3zj5eP7ngKn3Vf2uTw1YKeVfAIAQ4r0A3gHg17R/LoS4CeAmAIyNjZ17II5AAPGv/pdz//2zKlu9NjEBYauLt6WpiUgp8ejoUeFw+/x7plWrXtOs4mX1GllKLgvs3NGH6fotIFm062TsufoIWAAQyqvvZQBpAFntn0kpXwHwCgDMzc2d+zqVwx847189VWtvLxzBYKEQ3BEIoO3iRVavUc0VV6/lZ6i7SeOrDYur13xuH4Y7hxmmZA2ZFLAV0Yfpo9tAusyq+O4RYPQaMHpV+fXC22syxIoCVkopAXxWCPFPAHwYwB8bPRCH32fI17ENDZX0mLJ6jcyQzWVxP35fNzONRCM4SBtfbXih+4ISpuriI5/bh/6OfsPvh8gU6WPg0Tyw/royI11/A9gMAdkyq+JdY2qQXj8J1Z6RWo8YQGWLnH4BwLqU8g8A9ALYq8ZAWp1OtI2NIf1m5eeYsnqN6kU6m1aq1zQ9ptWoXhMQmHRN6hYfsXqNLCW5D2x8Wz8z3VoAZLb0tv2X1RBVP0auAp310+lbyQz2FQBfEUJ8GsBtAP+tWoNxBALlAzZfvaZ9z9TvZ/UamUJbvRaJRhDaCVW1es3nPukxZfUaWcpRtOj90jeAaJnFrqIVGArqL/MOzwKO+v7BspJFTrsAXqzBWOAIBLD/9a8r1WvamSmr18gkB6kD5X1SzelHy7Flw6vX2lvaMeOe0Z1+xOo1spT9jZNFR/lLvbEyE6rWdmAooJmZXgeGA0Bb422NrKsls32f+CG4f/RHWL1GpthN7OqCtFrVa522TvjcvkL1ms/tw6RrEm0t3GNKFiAlEHtQOjM9eFR627ZOYOSZk8u7o9eAQR9gs8YPlnUVsK3dPF6Nqk9bvaYN1PVD46sNne1O3Upev9uPMecYq9fIGnI5ILqszkjVIN24BRyXWRVvd51c3s1/9F8GLLzfuq4ClshoUkqsHa4pJx9pVvNWo3qt39FfmJXmA5XVa2QZ2QywvXCyijcfpqkyq+I7+zWreNWPvgmgyV4LDFiyjHLVa+FoGPFU3PD7YvUaWVomqWyD0e0xnQcyZVbFO736S7yj1wCnp+nCtBwGLDWkTC6D5diyLkwj0UhVqtfGneP604/cflavkXWkDoGN2+qMVA3TzTBQblV830TRtphrQDd/sHwcBizVvWQ2iTu7dwqnH4V3wljaW0IymzT0flpEC6ZcU4XDGli9RpZzvFe6x3RnCShZFS+AgZmiMH0G6Og1YdCNiwFLdSVfvaadmd7du1vV6rV8mE73TaPD1nhbAYjKOtzWLz5afwPYvV96uxYbMBxUZqP5MB0OAnb+YPm0GLBkmngqjshORHf6UTWq1xytjsIe0/wipEuuS6xeI2uQEoivnSw6yodpvEzzUqsdGJnVz0yHAoCNWyOrgQFLNbFzvFOyx/ThwUPD76e7rVu3+IjVa2QpUiqz0OI9pkfbpbdt79YvPBq9CgxcAfiDZc0wYMlQ+eo1bZCGoiFsHhlfvdZn70OgP6DrMfX2eLnHlKyh0uo1AHD06melo9cB9xTAxjBTMWDp3KSUuuq1fKBWo3ptqHNId1iDv9/P6jWyjnz1mvYS78a3y1evdQ0Bnuv6A+57x7gtpg4xYKkixdVrkWgEkZ0I9tP7ht8Xq9fI0tLHwKOQfgHSqdVrmtmpSdVrdHYMWCqRzqZxN3ZXd/rR4u4ijjPHht6PgMCEa+Jk8ZHbjxn3DFx2tiSRRRSq1zQz061I+eo196Wiy7zX6qp6jc6OAdvkEplEoXotv5r3zt4dpHNpQ+/HJmy41HtJ12PK6jWylKOo/hLv+hvAzl2geFW8aNG3xYxcVfaY1nn1Gp0dA7aJaKvX8j2m92L3kC330/RTyFevaRcfXe67DHsrtwKQRew/0gTp60qw7j2ues2vX3w0FADa+YNlM2DAWtReYk9ZdKTZGrMSXzH8fjpsHfpjBPv9rF4j6yhUrxXNTA82Sm9r6zipXst/WKh6jc6OAWsBW0dbJ4c11LB6zef2Ydw5zm0xZA25HLB7r/T0o7LVa079Jd7Ra8DAtKWr1+jsGLANRFu9pp2Zbh+X2WT+lPod/br3S/39fni6PNwWQ9aQzQDbi/ratfVbQKrMqvjO/tLFR70T3GNKp2LA1qmczOHN+Ju6wxrCO9WpXhvtGj05+UhdzcvqNbKMTFJph9FVr90uX73W4ykK06tKHRt/sKRzYMDWAbOq13xuH/xuP/ocfYbfD5EpUodKb2l+8dH6G8BmBCi3Kr5vQnOU4HUlTLuHajxgsjIGbI3lq9e0l3gXdxerVr2mXYDkc/tYvUbWkYgpl3W1W2O2Fx9TvXalTPUaf7Ck6mLAVtFR+giLu4uFwxqqVb1ma7Fhunda12PK6jWylMPt0gPud++V3q7FBgwF9Zd4h2dZvUamYMAaRFu9lg/Te7F7Va1ey89ML/deZvUaWYOUwP66/nD79TeAeJnmpVa70ltaXL3W5qj9uInKYMCew87xTuHAhvzWmGpVr+UPa8iv5p1wTrB6jaxBSmBvpXRmerhVetu2rtIzeVm9RnWOAfsEta5eK+4xZfUaWUYuqxwbqF18tHFLeR+1WEn12jXlnF5ui6EGw4BVaavXItFIIVSjiajh95WvXvP1+wozU1avkWVk08qB9tpLvBvfBtKHpbftGlRX8Gr3mLJ6jayhKQM2m8tiJb6i6zGtVvWat9urW3zkc/sw0DFg+P0QmSKdADbni/aYhoByq+JdF0tPP+oZYZiSZVk+YFm9RmSQ5D6wcVsfpo+tXpsq2hZzDehipy81F0sFbL56Ld8UE46GsbS7VLXqtUJbTH8AM30zrF4j6zjeLT3gfucOylavDfqLwnQWcPAHS6KGDdjD9KHuvdJqVq9d6buiLEBi9RpZ0cGmfvHR+hvlq9da2oDhgOYS73Vlmwyr14jKaoiALa5ei0QjuB+/b/j9aKvX8scITvVOsXqNrEFKIPaw6ID7N5R9p8VsHcpMVFe95mf1GtEZnBqwQggXgH+n3vYAwMtSylS1BnSYPsRrj17TbY1ZO1wz/H562nsKtWv5UB3rGeMeU7KGQvVa0R7T4zKr4u1OzZm86kf/ZaC1IX7+JqpblbyCPgngi1LKrwshvgTggwC+Wq0BrcRX8Nn//llDv6bb4S4sPGL1GllONgPsLBWF6WOq1zrcgOe6PlD7JrnHlKgKTg1YKeXvav5zEIDxpyxoXO69DFuLDZnc+c7rzVev+fp9hRnqYMcgw5SsQVu9lr/Eu3EbKLcqvme09MAGVq9RE9rcT2B+NY75tRhW9xL4rY8+U5P7rfgakBDiXQD6pJTfLPr8TQA3AWBsbOypB9Te2o7p3mmEo+FTbzvWM6a7xMvqNbKU1JFavfb6ycx0M1y+eq137KRybfS6MkPtGa7xgInMJaXEWiyB26sxzK/GcHstjturMaSyOcx6XAh6nXjuUj+klDWZdFUUsEIIN4DfBvCx4j+TUr4C4BUAmJubM+Rke3+/Xxew5arXZtwz6GnvMeLuiMyXiCmnHWkv8z6ueq1/urR6rdNtyrCJzJLLSaxEj3B7NYbbazGE1DBta21B0OPErNeFH5i7iF/7SBDe3g5TrmJWssipHcBXAHxBSrlS/SEBz3ueB4BCoF7pu8LqNbKOwx1lVqrtMY0ul95OtCpVa9owZfUaNaFMNofl7UMlTFfjuL0WQ3gtDmdHG2a9Tsx6XPjU85MIepwYctZPm5KQ8smTTiHEZwD8JoA31E99SUr5x+VuOzc3J1999VVjR0jUqKQE9jdKV/I+sXpNs/hoKMjqNWo6yUwWS48OCjPT26txLGzsY9TlQNDrwqzHiaDHhaDHib6u+tg2JoR4TUo5V/z5ShY5fQnAl6oyKiKrKFu9dgs4LLMmsK1Luayr22M6w+o1ajrHqSxC68rio3l1Znp36wDj7i4E1Znp917zwj/agx5H470+uNGN6Kzy1Wsbt/QLkMpWr7k0QXpdWXzUfwngfmtqMvFEuvA+6bz664PdI0wP9WDW68QzF1z4oXeOwTfSA0ebNV4fDFiiJ8mmga0F/cz0idVrRdtiese5LYaazs5BUglRzcx0az8J/6gTsx4n3jXVj0+/ZxLTQz1ot1l3DzYDliivpHrtlrJNplz1mvNCaZiyeo2ajJQSj+LJk1npmrI9Zj+ZUVbyelx4MTCMz704jcmBbrS2NNfrgwFLzSl5ADwqql7bDD+5ek17+lEXO32puUgp8XD3WLf4aH4thpwEZtXFRy+9xYtf/p4ALrrN2RZTbxiwZH1nql7zle4xZfUaNZlsTuLe9iHm12KFrTHzazF02W2FFbw//Ow4Zr1OjDgdDNPHYMCSteiq19RQ3SuzfbulDRjy6xcgsXqNmlA6m8PSowNlJa+6+Ci8Hkd/tx2zXmVLzE/euISgx4mBbtZ0ngUDlhqTlEB8tXSP6ZOq17SXeIf8gI3fLKi5JNJZLGzs6y7xLj7ax4W+Tsyqpx99IDiCgMcJV0fjbYupNwxYqn9nqV5r79Ef1jB6TTlakNVr1GQOkhmE1+O6S7z3dw4xOdBdCNPvf5sXvhEnuux8fVQD/69SfdFVr+XbYm4ByXjpbTvcpSt5Wb1GTSh2lFbeL107OUpwfS+BKyM9mPU4MTfRhx97bgLTw92W2WPaCBiwZJ5MCtgKF+0xfUL1WnEpuOsCt8VQ09naTxa2w+TDdO8ojcCoEwGPE++9Moifev8lXBrsRlsrf9g0EwOWauPM1WtFpx+xeo2aTHH1Wn6faSKdKxxw/6Gro/j7H5zBRH8XWppsj2kjYMCS8QrVa5qtMdsLp1SvXT3Za8rqNWoyuZzEm9Ej3eKj26sxtLa04Bmv8n7px+cu4h97grjQxz2mjYIBS0/ncAfYKFp89LjqtaFg0R7TWcDOTl9qLk+qXsv3mP748xOY9bjqqnqNzo4BS5UpV722cQuIPSi9bWu7Wr2WD9JrwHAAaGOnLzWXVCaHxUf76oxUCdOFjX0MOx2FMP1Z33RdVa+RcRiwVKpQvVZ0+lHZ6rXOMtVrPlavUdM5TmUR3ojrFh8VV699+OooAh5nQ1av0dkxYJtdLgdE72pOP1K3xyT2Sm9rd2n2mF5X95iyeo2aj7Z6LaQuPnozeoTLQ92Y9bgwe8GFH3zHRfhGnOho5+ujWTFgm0lx9drGLWUxUuqg9LadA4Dnuv6Q+74JbouhphM9TOku8c6vxrC5n4RvpAezXheenerHTzRB9RqdHQPWqtIJYDOkv8T72Oo1b5nqtVGGKTUVKSU295O6xUfF1Wvf6R/Cz33HNKYGm696jc6OAWsF5arXtiJALlN6277J0jBl9Ro1GW31Wn5/6e3VOHJSFhYffd91L37pe/y42NfJPaZ0LgzYRqOtXttQf91ewmOr17SnH408A3T0mjFqItPkchL3dg5PwlT9taOttdAW88l3snqNjMeArWcHm2qYvn4yMy1bvWbTVK9dV34dDgLtXbUeMZGp0tkc7mwe6MK0uHrt5nunEPS4MNjDNiWqLgZsPThT9ZoDGJ7VXOK9CgwFWL1GTSdfvZa/xDu/GsPiowN4eh2Y9bow63Hhu4LDCI664OrkthiqPQZsrWmr1zY0+0yPdkpv295Tusd04Aqr16jpHGqr19SZaXH12sfeyuo1qi/8l1hNuazy/mjx6Udlq9f6ihYfXWf1GjWl4uq1+bUY1tTqtaDHibeO9eFH3jWOK8M9rF6jusaANcpZqte6R/SXeEevAa6L3BZDTWdrP4n5tZP3S2+vxRA9SCHgUd4vZfUaNTIG7Hnkq9e0h9w/CpWvXnONqSF6/SRQe0ZqPmQiM0kpsa5Wr91eU48TLKpe++DsCH7+AzOYZPUaWQQD9jSJuFq9pgnTstVrAPovF7XFsHqNmk+56rX5tThahCiE6cfnLrB6jSyPAatVUr12Szmnt5iuek29xDs8CzictR8zkYmyOYnlrYNCmObP5mX1GlEzB2xx9dr6G4+vXhsK6BcfsXqNmtBp1WtBjws//cJlBD0uuFm9RtQEASslsPdmaZieVr2WPwFp0AfY+M2Cmkuhek3zfumdzQOMuTsx63Eh6GX1GtFprBWwuuo1zcep1WvqR/9lVq9R09nPV69pwlRbvRb0uvDy21m9RnRWjRuw2Yyy2Ei3LeZx1Wv9mlW811i9Rk2ruHottBbHo3gCvpEeBD0uvHPKjU+9exJXhlm9RvS0KgpYIcQwgH8vpXxPlcdTXrnqtc0QkEmU3jZfvaY95N7pYZhS09mMJ3SLj+bX4ogfpxFQFx/lq9cmB7pg4x5TIsOdGrBCiD4Avw+gtifH3/9r4PUvq9Vr4cdUr00UbYu5BnQP1nSYRGbLV69pZ6a3V+PI5nLKmbxeFz5y3Yt/8CE/xtysXiOqlUpmsFkALwP4z+X+UAhxE8BNABgbGzNuZNF7wOv/Jn8vwMBMUZiyeo2aj7Z6LaTpMXW0tRTeL/3EO8Yw63Vh1MXqNSIzCSnl6bcCIIT4hpTyxpNuMzc3J1999VUjxgXsrgCLXzupXrN3G/N1iRpEJpvDna0DzSXeGMLr++jrasOsR5mZ5rfHsHqNyDxCiNeklHPFn6/fRU5948A7b5o9CqKaSKSzWHy0X7jEW1y9FvQ48V2BYQQ9rF4jahT1G7BEFpWvXjs54D6Oe9sHmOjvUntMnfjoW7zwj7J6jaiR8dVLVEWxY6V6bb6w+CiG1b1jzAz3IOh14S1jffjhZ8cxM8LqNSKrqThgT3v/lajZbR8kC9th8r/uHCThH1W2xbz78gB+8n2XcHmI1WtEzYAzWKIzylevnQSpspL3KJUpbIvJV69N9HehldtiiJoSA5boCaRUq9c0l3iV6jWo75e68LG3XsCv/C0Xq9eISIcBS6Qqrl7L95j22G0IqmH6Y89NYNbrwlCPnWFKRE/EgKWmlMrksLS5r1t8FNnYx1CPvRCmP3XjMoIeJ/q7uceUiM6OAUuWl0hnEV7Xt8Xc2TzAxb7Owh7TDz2jVK85Wb1GRAZhwJKl5KvX5tfyBzbEsRI9xKXBbvX0Iyd+4O0X4Wf1GhFVGQOWGtbuYaoQpPnFRxuxBHyjPZj1uPCOCTc+9fwkpoe7YbcxTImothiw1BDKVa/F8tVrHhde8A3hZ79jGlOsXiOiOsGApbpyUr0WV/eXKkcJZrI59f1SF773ugdf+JAf46xeI6I6xoAl0+RyEvd3DnWLj/LVa0GPcibvD6rVax5WrxFRg2HAUk0UV6+F1uIIrcfR29lWWHz06fdMIehxYqjHYfZwiYieGgOWDJfMZLG4cVBYfHR7LY7FjX2M9joKYfpiYBhBjxO9ne1mD5eIqCoYsPRUjlJK9Vp+Znp7LY7lrQNMDnQpl3m9TnyfWr3Wzeo1Imoi/I5HFdNWr82vKWH6cPcIV4Z7EPS4cH2sF598dhw+Vq8RETFgqbztg2RJW8zOQRK+USdmPU48d3kAN997CdPDrF4jIiqHAdvkpJTYiCc0+0uVMD1MZQrvl34gOILPvziDyQFWrxERVYoB20S01Wv5S7zzqzEAavWa14mPvvUC/tGHXbjoZvUaEdHTYMBaVDYncW/7QLP4SDn9qNtuKyw++pFnxzHrdWHYyeo1IiKjMWAt4HHVa4M9dsx6XAh6naxeIyKqMQZsg8lXr50cJRjH0uY+LvZ1IuhxYtbrwnfPKtVrrg5WrxERmYUBW8cOkhmE1jSXeFfjuL+jVq95lTD9/rddhH+0B53tfCqJiOoJvyvXieLqtdBaHOuxBGZGejDrdeIdE278+HOTuDLC6jUiokbAgDXB5n5Ceb9Uc8B97DiNwKgTQa8T758Zws+8MI1Lg6xeIyJqVAzYKpJSYnXv+GRbjNpjmsrmCouPPnzVg1/8blavERFZDQPWIPnqtfxl3vyK3vbWlsLio5ffPoZZrxPeXu4xJSKyOgbsOWSyOdzdOtQtPgqtx+HqaFMWH3lc+Il3TyrVa05WrxERNSMG7CmKq9fm1+JY2NjHqMuBoFcpBf8On1K91tfF6jUiIlIwYDWU6rX9wvult1fjWN4+wLi7C0F1ZvqR6174R3vQ4+AeUyIierymDdjYcRqhtZPFR/nqtekhZVvM1Qu9+MQ7Wb1GRETn0xQBu3OQxG31wIaQughpaz8J30gPZr0uPHdpAH/nvVOYHupBu43bYoiI6OlZKmCllHgUT+r2l86vxXCQzCgreT0uvBgYxudenMbkQDer14iIqGoaNmCllHgQPS4sPspXr0mo1WseJ156ixe//GE/LvZxjykREdVWRQErhPg9AH4Afyal/PXqDqmUtnptXjMz7Wy3YdbrRNDjwt9+dhyzXidGnA7uMSUiItOdGrBCiI8CaJVSPieE+F0hxLSUcqkGY8Nv/VkYr67sIrwex0C3vRCmP3njEoIeJwZYvUZERHWqkhnsDQBfUX//lwDeDaAQsEKImwBuAsDY2Jihg/ON9uB9M4MIjrrg6uS2GCIiahyVBGwXgFX193EAl7V/KKV8BcArADA3NyeNHNxLb7lg5JcjIiKqmUr2pBwA6FB/313h3yEiImpqlYTla1AuCwPANQD3qzYaIiIii6jkEvGfAPgrIYQHwHcDeLaqIyIiIrKAU2ewUso4lIVO3wTwfillrNqDIiIianQV7YOVUu7iZCUxERERnYILloiIiKqAAUtERFQFDFgiIqIqEFIadzaEEGILwIphX1AxAGDb4K9pBqs8DoCPpV5Z5bFY5XEAfCz1qBqPY1xKOVj8SUMDthqEEK9KKefMHsfTssrjAPhY6pVVHotVHgfAx1KPavk4eImYiIioChiwREREVdAIAfuK2QMwiFUeB8DHUq+s8lis8jgAPpZ6VLPHUffvwRIRETWiRpjBEhERNRwGLBERURWYGrBCiN8TQvyNEOKXznKbSv5erZ02JiGESwjx50KIrwsh/pMQol0IYRNCvCmE+Ib68Uytx11mnKc9jrJjFkL8qhDiW0KIf1nbET9eBY/lM5rH8boQ4l/V43MCAEKIYSHEXz3hz9uEEH+qPt5PPe5z9aCCxzKm/r//SyHEK0LhFUI81DwvJXsOzVDBYyk77jr9HnbaY/lVzeOICCG+UG/PS7nvs4+5XU1yxbSAFUJ8FECrlPI5AB4hxHQlt6nk79VahWP6JIAvSilfBLAB4IMArgL4spTyhvrx7dqNulSFj6NkzEKIOSidwe8A8FAI8Z01HHZZlTwWKeWX8o8DwF9BWfxQV88JAAgh+gD8PoCuJ9zsZwC8qj7eDwsheh7zOVNV+Fj+LoDPSClfAHARwDMA3gngNzTPy1b1R/tkFT6WknHX6fewUx+LlPJXNK+XbwP4A9Tf81Lu+6xOLXPFzBnsDZw09PwlTkrdT7tNJX+v1m7glDFJKX9XSvl19T8HAWxC6dZ9SQjx10KIfyuEqKjdqIpu4PT/t+XG/F4A/0EqK+b+AsB7ajHYU9xAhf9OhBBeAMNSytdQf88JAGQBvAwg/oTb3MDJ4/0bAHOP+ZzZTn0sUsp/KKUMq//ZD+XUnWcB/JQQ4n8LIf559YdZkUqel3LjvoH6+x5WyWMBAAgh3g5gVUq5ijp7Xh7zfbbYDdQoV8wM2C4Aq+rv4wCGK7xNJX+v1ioekxDiXQD6pJTfBPAtAO+TUr4bwB6AD1V5nKep5HGUG3NDPycAPgvgS+rv6+05gZQyXkEPc0O8Vip8LAAAIcTLAOallGsA/hzAc1LKdwG4IoS4Ws1xVqLCx1Ju3A39vAD4ewB+W/193T0vQMn32WI1e62YGbAHADrU33c/ZizlblPJ36u1isYkhHBD+YeZfz/slpRyXf19BIDZl4oqeRzlxtzIz0kLgPdLKf+H+ql6e04q1SivlYoIIaYA/DyAn1M/9TdSyn319430vJQbdyM/L70AhqSUd9VP1d3zUub7bLGavVbMfGJfw8k0/BqA+xXeppK/V2unjkl9s/0rAL4gpcwXIvyhEOKaEKIVwEsA3qjBWJ+kkv+35cbckM+J6j0A/o/mv+vtOalUo7xWTqW+H/hlAJ/SzKq+JoQYFUJ0AvgAgNumDfBsyo27IZ8X1UcA/Jnmv+vqeXnM99litXutSClN+QDghPLN64sAwuqD+vVTbuMq9zmzHsMZH8tnAOwC+Ib68TKAWQC3oCwY+I0GeRwlY4byg9r/AvAvACwAmGyEx6Le7jcBfPRJj69ePgB8Q/31BQA/XfRn4wDm1efgWwBay33O7MdQ4WP5pwDWNa+V9wF4P5QZ0q3i25v9ccpjKRl3PX4Pq+SxqJ//IwBvfdLjM3n8xd9nf6XM97Ca5YqpJzmpP6m+COB/Sik3Kr1NJX+v1upxTOdx3schhOgA8D0A/q+Ucrla4zsLqzwnlRJCeKD8FP41qc78yn2OzNds/zbrTa1yhUclEhERVUHDvLlORETUSBiwREREVcCAJSIiqgIGLBERURUwYImIiKrg/wMgd0Ia2m/S2wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(8, 4))\n",
    "\n",
    "x = np.array([0, 1, 2])\n",
    "\n",
    "ax.plot(x, x, linewidth=1)\n",
    "ax.plot(x, x+1, linewidth=2)\n",
    "ax.plot(x, x+2, linewidth=5)\n",
    "ax.plot(x, x+3, linewidth=10);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 课后测验：\n",
    "\n",
    "　　因为今天的折线图内容较为简单，因此我们换一下课后检验的形式，下面给出一个简单的折线图例子，请你根据自己前面所学的知识，为**待补充注释**处补充下方对应部分代码的作用："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-10-24T13:43:11.199846Z",
     "iopub.status.busy": "2020-10-24T13:43:11.198845Z",
     "iopub.status.idle": "2020-10-24T13:43:12.324832Z",
     "shell.execute_reply": "2020-10-24T13:43:12.324832Z",
     "shell.execute_reply.started": "2020-10-24T13:43:11.198845Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import ticker\n",
    "\n",
    "# 读入苹果公司股票交易历史数据\n",
    "AAPL = pd.read_csv('AAPL.csv')\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "\n",
    "# 显示收盘价，颜色为灰色，线宽为0.8\n",
    "ax.plot(AAPL['Date'], AAPL['Close'], color='grey', linewidth=0.8)\n",
    "\n",
    "# 设置x轴主刻度为22个，x轴刻度标签旋转60°\n",
    "ax.xaxis.set_major_locator(ticker.LinearLocator(22))\n",
    "ax.tick_params(axis='x', rotation=60)\n",
    "\n",
    "# 隐藏左、右和上spines对象\n",
    "ax.spines['left'].set_color('none')\n",
    "ax.spines['right'].set_color('none')\n",
    "ax.spines['top'].set_color('none')\n",
    "\n",
    "# 设置y轴的范围为（-10，350）\n",
    "ax.set_ylim(-10, 350)\n",
    "\n",
    "# 设置y轴的网格，网格线为虚线，颜色为黑色，网格位于图像下面\n",
    "ax.grid(True, axis='y', linestyle='--', color='black')\n",
    "ax.set_axisbelow(True)\n",
    "\n",
    "# 设置标题为NASDAQ: AAPL，字体大小为20，偏移量为20\n",
    "ax.set_title('NASDAQ: AAPL', fontsize=20, pad=20)\n",
    "\n",
    "ax.set_facecolor('#fffae6') # 设置Axes区域背景色彩\n",
    "fig.set_facecolor('#fffae6'); # 设置fig区域背景色"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 请在今天对应的帖子下回复补充过注释的代码截图"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.1"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {},
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
